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   /*
    * Copyright 2010-2015 Amazon.com, Inc. or its affiliates. All Rights Reserved.
    * 
    * Licensed under the Apache License, Version 2.0 (the "License").
    * You may not use this file except in compliance with the License.
    * A copy of the License is located at
    * 
    *  http://aws.amazon.com/apache2.0
    * 
   * or in the "license" file accompanying this file. This file is distributed
   * on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either
   * express or implied. See the License for the specific language governing
   * permissions and limitations under the License.
   */
  package com.amazonaws.services.datapipeline;
  
  import java.net.*;
  import java.util.*;
  
  
  import com.amazonaws.*;
  
Client for accessing DataPipeline. All service calls made using this client are blocking, and will not return until the service call completes.

AWS Data Pipeline configures and manages a data-driven workflow called a pipeline. AWS Data Pipeline handles the details of scheduling and ensuring that data dependencies are met so that your application can focus on processing the data.

AWS Data Pipeline provides a JAR implementation of a task runner called AWS Data Pipeline Task Runner. AWS Data Pipeline Task Runner provides logic for common data management scenarios, such as performing database queries and running data analysis using Amazon Elastic MapReduce (Amazon EMR). You can use AWS Data Pipeline Task Runner as your task runner, or you can write your own task runner to provide custom data management.

AWS Data Pipeline implements two main sets of functionality. Use the first set to create a pipeline and define data sources, schedules, dependencies, and the transforms to be performed on the data. Use the second set in your task runner application to receive the next task ready for processing. The logic for performing the task, such as querying the data, running data analysis, or converting the data from one format to another, is contained within the task runner. The task runner performs the task assigned to it by the web service, reporting progress to the web service as it does so. When the task is done, the task runner reports the final success or failure of the task to the web service.

  
  public class DataPipelineClient extends AmazonWebServiceClient implements DataPipeline {

    
Provider for AWS credentials.
  
  
      private static final Log log = LogFactory.getLog(DataPipeline.class);

    
List of exception unmarshallers for all DataPipeline exceptions.
  
      protected List<JsonErrorUnmarshallerjsonErrorUnmarshallers;

    
Constructs a new client to invoke service methods on DataPipeline. A credentials provider chain will be used that searches for credentials in this order:
  • Environment Variables - AWS_ACCESS_KEY_ID and AWS_SECRET_KEY
  • Java System Properties - aws.accessKeyId and aws.secretKey
  • Instance profile credentials delivered through the Amazon EC2 metadata service

All service calls made using this new client object are blocking, and will not return until the service call completes.

  
     public DataPipelineClient() {
         this(new DefaultAWSCredentialsProviderChain(), new ClientConfiguration());
     }

    
Constructs a new client to invoke service methods on DataPipeline. A credentials provider chain will be used that searches for credentials in this order:
  • Environment Variables - AWS_ACCESS_KEY_ID and AWS_SECRET_KEY
  • Java System Properties - aws.accessKeyId and aws.secretKey
  • Instance profile credentials delivered through the Amazon EC2 metadata service

All service calls made using this new client object are blocking, and will not return until the service call completes.

Parameters:
clientConfiguration The client configuration options controlling how this client connects to DataPipeline (ex: proxy settings, retry counts, etc.).
See also:
com.amazonaws.auth.DefaultAWSCredentialsProviderChain
 
     public DataPipelineClient(ClientConfiguration clientConfiguration) {
         this(new DefaultAWSCredentialsProviderChain(), clientConfiguration);
     }

    
Constructs a new client to invoke service methods on DataPipeline using the specified AWS account credentials.

All service calls made using this new client object are blocking, and will not return until the service call completes.

Parameters:
awsCredentials The AWS credentials (access key ID and secret key) to use when authenticating with AWS services.
 
     public DataPipelineClient(AWSCredentials awsCredentials) {
         this(awsCredentialsnew ClientConfiguration());
     }

    
Constructs a new client to invoke service methods on DataPipeline using the specified AWS account credentials and client configuration options.

All service calls made using this new client object are blocking, and will not return until the service call completes.

Parameters:
awsCredentials The AWS credentials (access key ID and secret key) to use when authenticating with AWS services.
clientConfiguration The client configuration options controlling how this client connects to DataPipeline (ex: proxy settings, retry counts, etc.).
 
     public DataPipelineClient(AWSCredentials awsCredentialsClientConfiguration clientConfiguration) {
         super(adjustClientConfiguration(clientConfiguration));
         
         this. = new StaticCredentialsProvider(awsCredentials);
         
         init();
     }

    
Constructs a new client to invoke service methods on DataPipeline using the specified AWS account credentials provider.

All service calls made using this new client object are blocking, and will not return until the service call completes.

Parameters:
awsCredentialsProvider The AWS credentials provider which will provide credentials to authenticate requests with AWS services.
 
     public DataPipelineClient(AWSCredentialsProvider awsCredentialsProvider) {
         this(awsCredentialsProvidernew ClientConfiguration());
     }

    
Constructs a new client to invoke service methods on DataPipeline using the specified AWS account credentials provider and client configuration options.

All service calls made using this new client object are blocking, and will not return until the service call completes.

Parameters:
awsCredentialsProvider The AWS credentials provider which will provide credentials to authenticate requests with AWS services.
clientConfiguration The client configuration options controlling how this client connects to DataPipeline (ex: proxy settings, retry counts, etc.).
 
     public DataPipelineClient(AWSCredentialsProvider awsCredentialsProviderClientConfiguration clientConfiguration) {
         this(awsCredentialsProviderclientConfigurationnull);
     }

    
Constructs a new client to invoke service methods on DataPipeline using the specified AWS account credentials provider, client configuration options and request metric collector.

All service calls made using this new client object are blocking, and will not return until the service call completes.

Parameters:
awsCredentialsProvider The AWS credentials provider which will provide credentials to authenticate requests with AWS services.
clientConfiguration The client configuration options controlling how this client connects to DataPipeline (ex: proxy settings, retry counts, etc.).
requestMetricCollector optional request metric collector
 
     public DataPipelineClient(AWSCredentialsProvider awsCredentialsProvider,
             ClientConfiguration clientConfiguration,
             RequestMetricCollector requestMetricCollector) {
         super(adjustClientConfiguration(clientConfiguration), requestMetricCollector);
         
         this. = awsCredentialsProvider;
         
         init();
     }
 
     private void init() {
         
         
         // calling this.setEndPoint(...) will also modify the signer accordingly
         this.setEndpoint("datapipeline.us-east-1.amazonaws.com");
         
         HandlerChainFactory chainFactory = new HandlerChainFactory();
         .addAll(chainFactory.newRequestHandlerChain(
                 "/com/amazonaws/services/datapipeline/request.handlers"));
         .addAll(chainFactory.newRequestHandler2Chain(
                 "/com/amazonaws/services/datapipeline/request.handler2s"));
     }
 
         ClientConfiguration config = orig;
         
         return config;
     }

    

Validates the specified pipeline and starts processing pipeline tasks. If the pipeline does not pass validation, activation fails.

If you need to pause the pipeline to investigate an issue with a component, such as a data source or script, call DeactivatePipeline.

To activate a finished pipeline, modify the end date for the pipeline and then activate it.

Parameters:
activatePipelineRequest Container for the necessary parameters to execute the ActivatePipeline service method on DataPipeline.
Returns:
The response from the ActivatePipeline service method, as returned by DataPipeline.
Throws:
com.amazonaws.services.datapipeline.model.PipelineNotFoundException
com.amazonaws.services.datapipeline.model.InternalServiceErrorException
com.amazonaws.services.datapipeline.model.InvalidRequestException
com.amazonaws.services.datapipeline.model.PipelineDeletedException
com.amazonaws.AmazonClientException If any internal errors are encountered inside the client while attempting to make the request or handle the response. For example if a network connection is not available.
com.amazonaws.AmazonServiceException If an error response is returned by DataPipeline indicating either a problem with the data in the request, or a server side issue.
 
     public ActivatePipelineResult activatePipeline(ActivatePipelineRequest activatePipelineRequest) {
         ExecutionContext executionContext = createExecutionContext(activatePipelineRequest);
         AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
         awsRequestMetrics.startEvent(.);
         Request<ActivatePipelineRequestrequest = null;
         Response<ActivatePipelineResultresponse = null;
         
         try {
             awsRequestMetrics.startEvent(.);
             try {
                 request = new ActivatePipelineRequestMarshaller().marshall(super.beforeMarshalling(activatePipelineRequest));
                 // Binds the request metrics to the current request.
                 request.setAWSRequestMetrics(awsRequestMetrics);
             } finally {
                 awsRequestMetrics.endEvent(.);
             }
 
             Unmarshaller<ActivatePipelineResultJsonUnmarshallerContextunmarshaller =
                 new ActivatePipelineResultJsonUnmarshaller();
             JsonResponseHandler<ActivatePipelineResultresponseHandler =
                 new JsonResponseHandler<ActivatePipelineResult>(unmarshaller);
 
             response = invoke(requestresponseHandlerexecutionContext);
 
             return response.getAwsResponse();
         } finally {
             
             endClientExecution(awsRequestMetricsrequestresponse);
         }
     }

    

Lists the pipeline identifiers for all active pipelines that you have permission to access.

Parameters:
listPipelinesRequest Container for the necessary parameters to execute the ListPipelines service method on DataPipeline.
Returns:
The response from the ListPipelines service method, as returned by DataPipeline.
Throws:
com.amazonaws.services.datapipeline.model.InternalServiceErrorException
com.amazonaws.services.datapipeline.model.InvalidRequestException
com.amazonaws.AmazonClientException If any internal errors are encountered inside the client while attempting to make the request or handle the response. For example if a network connection is not available.
com.amazonaws.AmazonServiceException If an error response is returned by DataPipeline indicating either a problem with the data in the request, or a server side issue.
 
     public ListPipelinesResult listPipelines(ListPipelinesRequest listPipelinesRequest) {
         ExecutionContext executionContext = createExecutionContext(listPipelinesRequest);
         AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
         awsRequestMetrics.startEvent(.);
         Request<ListPipelinesRequestrequest = null;
         Response<ListPipelinesResultresponse = null;
         
         try {
             awsRequestMetrics.startEvent(.);
             try {
                 request = new ListPipelinesRequestMarshaller().marshall(super.beforeMarshalling(listPipelinesRequest));
                 // Binds the request metrics to the current request.
                 request.setAWSRequestMetrics(awsRequestMetrics);
             } finally {
                 awsRequestMetrics.endEvent(.);
             }
 
             Unmarshaller<ListPipelinesResultJsonUnmarshallerContextunmarshaller =
                 new ListPipelinesResultJsonUnmarshaller();
             JsonResponseHandler<ListPipelinesResultresponseHandler =
                 new JsonResponseHandler<ListPipelinesResult>(unmarshaller);
 
             response = invoke(requestresponseHandlerexecutionContext);
 
             return response.getAwsResponse();
         } finally {
             
             endClientExecution(awsRequestMetricsrequestresponse);
         }
     }

    

Task runners call ReportTaskProgress when assigned a task to acknowledge that it has the task. If the web service does not receive this acknowledgement within 2 minutes, it assigns the task in a subsequent PollForTask call. After this initial acknowledgement, the task runner only needs to report progress every 15 minutes to maintain its ownership of the task. You can change this reporting time from 15 minutes by specifying a reportProgressTimeout field in your pipeline.

If a task runner does not report its status after 5 minutes, AWS Data Pipeline assumes that the task runner is unable to process the task and reassigns the task in a subsequent response to PollForTask. Task runners should call ReportTaskProgress every 60 seconds.

Parameters:
reportTaskProgressRequest Container for the necessary parameters to execute the ReportTaskProgress service method on DataPipeline.
Returns:
The response from the ReportTaskProgress service method, as returned by DataPipeline.
Throws:
com.amazonaws.services.datapipeline.model.PipelineNotFoundException
com.amazonaws.services.datapipeline.model.InternalServiceErrorException
com.amazonaws.services.datapipeline.model.InvalidRequestException
com.amazonaws.services.datapipeline.model.TaskNotFoundException
com.amazonaws.services.datapipeline.model.PipelineDeletedException
com.amazonaws.AmazonClientException If any internal errors are encountered inside the client while attempting to make the request or handle the response. For example if a network connection is not available.
com.amazonaws.AmazonServiceException If an error response is returned by DataPipeline indicating either a problem with the data in the request, or a server side issue.
 
     public ReportTaskProgressResult reportTaskProgress(ReportTaskProgressRequest reportTaskProgressRequest) {
         ExecutionContext executionContext = createExecutionContext(reportTaskProgressRequest);
         AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
         awsRequestMetrics.startEvent(.);
         Request<ReportTaskProgressRequestrequest = null;
         Response<ReportTaskProgressResultresponse = null;
         
         try {
             awsRequestMetrics.startEvent(.);
             try {
                 request = new ReportTaskProgressRequestMarshaller().marshall(super.beforeMarshalling(reportTaskProgressRequest));
                 // Binds the request metrics to the current request.
                 request.setAWSRequestMetrics(awsRequestMetrics);
             } finally {
                 awsRequestMetrics.endEvent(.);
             }
 
             Unmarshaller<ReportTaskProgressResultJsonUnmarshallerContextunmarshaller =
                 new ReportTaskProgressResultJsonUnmarshaller();
             JsonResponseHandler<ReportTaskProgressResultresponseHandler =
                 new JsonResponseHandler<ReportTaskProgressResult>(unmarshaller);
 
             response = invoke(requestresponseHandlerexecutionContext);
 
             return response.getAwsResponse();
         } finally {
             
             endClientExecution(awsRequestMetricsrequestresponse);
         }
     }

    

Task runners call PollForTask to receive a task to perform from AWS Data Pipeline. The task runner specifies which tasks it can perform by setting a value for the workerGroup parameter. The task returned can come from any of the pipelines that match the workerGroup value passed in by the task runner and that was launched using the IAM user credentials specified by the task runner.

If tasks are ready in the work queue, PollForTask returns a response immediately. If no tasks are available in the queue, PollForTask uses long-polling and holds on to a poll connection for up to a 90 seconds, during which time the first newly scheduled task is handed to the task runner. To accomodate this, set the socket timeout in your task runner to 90 seconds. The task runner should not call PollForTask again on the same workerGroup until it receives a response, and this can take up to 90 seconds.

Parameters:
pollForTaskRequest Container for the necessary parameters to execute the PollForTask service method on DataPipeline.
Returns:
The response from the PollForTask service method, as returned by DataPipeline.
Throws:
com.amazonaws.services.datapipeline.model.InternalServiceErrorException
com.amazonaws.services.datapipeline.model.InvalidRequestException
com.amazonaws.services.datapipeline.model.TaskNotFoundException
com.amazonaws.AmazonClientException If any internal errors are encountered inside the client while attempting to make the request or handle the response. For example if a network connection is not available.
com.amazonaws.AmazonServiceException If an error response is returned by DataPipeline indicating either a problem with the data in the request, or a server side issue.
 
     public PollForTaskResult pollForTask(PollForTaskRequest pollForTaskRequest) {
         ExecutionContext executionContext = createExecutionContext(pollForTaskRequest);
         AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
         awsRequestMetrics.startEvent(.);
         Request<PollForTaskRequestrequest = null;
         Response<PollForTaskResultresponse = null;
         
         try {
             awsRequestMetrics.startEvent(.);
             try {
                 request = new PollForTaskRequestMarshaller().marshall(super.beforeMarshalling(pollForTaskRequest));
                 // Binds the request metrics to the current request.
                 request.setAWSRequestMetrics(awsRequestMetrics);
             } finally {
                 awsRequestMetrics.endEvent(.);
             }
 
             Unmarshaller<PollForTaskResultJsonUnmarshallerContextunmarshaller =
                 new PollForTaskResultJsonUnmarshaller();
             JsonResponseHandler<PollForTaskResultresponseHandler =
                 new JsonResponseHandler<PollForTaskResult>(unmarshaller);
 
             response = invoke(requestresponseHandlerexecutionContext);
 
             return response.getAwsResponse();
         } finally {
             
             endClientExecution(awsRequestMetricsrequestresponse);
         }
     }

    

Validates the specified pipeline definition to ensure that it is well formed and can be run without error.

Parameters:
validatePipelineDefinitionRequest Container for the necessary parameters to execute the ValidatePipelineDefinition service method on DataPipeline.
Returns:
The response from the ValidatePipelineDefinition service method, as returned by DataPipeline.
Throws:
com.amazonaws.services.datapipeline.model.PipelineNotFoundException
com.amazonaws.services.datapipeline.model.InternalServiceErrorException
com.amazonaws.services.datapipeline.model.InvalidRequestException
com.amazonaws.services.datapipeline.model.PipelineDeletedException
com.amazonaws.AmazonClientException If any internal errors are encountered inside the client while attempting to make the request or handle the response. For example if a network connection is not available.
com.amazonaws.AmazonServiceException If an error response is returned by DataPipeline indicating either a problem with the data in the request, or a server side issue.
 
         ExecutionContext executionContext = createExecutionContext(validatePipelineDefinitionRequest);
         AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
         awsRequestMetrics.startEvent(.);
         Request<ValidatePipelineDefinitionRequestrequest = null;
         Response<ValidatePipelineDefinitionResultresponse = null;
         
         try {
             awsRequestMetrics.startEvent(.);
             try {
                 request = new ValidatePipelineDefinitionRequestMarshaller().marshall(super.beforeMarshalling(validatePipelineDefinitionRequest));
                 // Binds the request metrics to the current request.
                 request.setAWSRequestMetrics(awsRequestMetrics);
             } finally {
                 awsRequestMetrics.endEvent(.);
             }
 
             Unmarshaller<ValidatePipelineDefinitionResultJsonUnmarshallerContextunmarshaller =
                 new ValidatePipelineDefinitionResultJsonUnmarshaller();
             JsonResponseHandler<ValidatePipelineDefinitionResultresponseHandler =
                 new JsonResponseHandler<ValidatePipelineDefinitionResult>(unmarshaller);
 
             response = invoke(requestresponseHandlerexecutionContext);
 
             return response.getAwsResponse();
         } finally {
             
             endClientExecution(awsRequestMetricsrequestresponse);
         }
     }

    

Queries the specified pipeline for the names of objects that match the specified set of conditions.

Parameters:
queryObjectsRequest Container for the necessary parameters to execute the QueryObjects service method on DataPipeline.
Returns:
The response from the QueryObjects service method, as returned by DataPipeline.
Throws:
com.amazonaws.services.datapipeline.model.PipelineNotFoundException
com.amazonaws.services.datapipeline.model.InternalServiceErrorException
com.amazonaws.services.datapipeline.model.InvalidRequestException
com.amazonaws.services.datapipeline.model.PipelineDeletedException
com.amazonaws.AmazonClientException If any internal errors are encountered inside the client while attempting to make the request or handle the response. For example if a network connection is not available.
com.amazonaws.AmazonServiceException If an error response is returned by DataPipeline indicating either a problem with the data in the request, or a server side issue.
 
     public QueryObjectsResult queryObjects(QueryObjectsRequest queryObjectsRequest) {
         ExecutionContext executionContext = createExecutionContext(queryObjectsRequest);
         AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
         awsRequestMetrics.startEvent(.);
         Request<QueryObjectsRequestrequest = null;
         Response<QueryObjectsResultresponse = null;
         
         try {
             awsRequestMetrics.startEvent(.);
             try {
                 request = new QueryObjectsRequestMarshaller().marshall(super.beforeMarshalling(queryObjectsRequest));
                 // Binds the request metrics to the current request.
                 request.setAWSRequestMetrics(awsRequestMetrics);
             } finally {
                 awsRequestMetrics.endEvent(.);
             }
 
             Unmarshaller<QueryObjectsResultJsonUnmarshallerContextunmarshaller =
                 new QueryObjectsResultJsonUnmarshaller();
             JsonResponseHandler<QueryObjectsResultresponseHandler =
                 new JsonResponseHandler<QueryObjectsResult>(unmarshaller);
 
             response = invoke(requestresponseHandlerexecutionContext);
 
             return response.getAwsResponse();
         } finally {
             
             endClientExecution(awsRequestMetricsrequestresponse);
         }
     }

    

Requests that the status of the specified physical or logical pipeline objects be updated in the specified pipeline. This update might not occur immediately, but is eventually consistent. The status that can be set depends on the type of object (for example, DataNode or Activity). You cannot perform this operation on FINISHED pipelines and attempting to do so returns InvalidRequestException .

Parameters:
setStatusRequest Container for the necessary parameters to execute the SetStatus service method on DataPipeline.
Throws:
com.amazonaws.services.datapipeline.model.PipelineNotFoundException
com.amazonaws.services.datapipeline.model.InternalServiceErrorException
com.amazonaws.services.datapipeline.model.InvalidRequestException
com.amazonaws.services.datapipeline.model.PipelineDeletedException
com.amazonaws.AmazonClientException If any internal errors are encountered inside the client while attempting to make the request or handle the response. For example if a network connection is not available.
com.amazonaws.AmazonServiceException If an error response is returned by DataPipeline indicating either a problem with the data in the request, or a server side issue.
 
     public void setStatus(SetStatusRequest setStatusRequest) {
         ExecutionContext executionContext = createExecutionContext(setStatusRequest);
         AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
         awsRequestMetrics.startEvent(.);
         Request<SetStatusRequestrequest = null;
         
         try {
             awsRequestMetrics.startEvent(.);
             try {
                 request = new SetStatusRequestMarshaller().marshall(super.beforeMarshalling(setStatusRequest));
                 // Binds the request metrics to the current request.
                 request.setAWSRequestMetrics(awsRequestMetrics);
             } finally {
                 awsRequestMetrics.endEvent(.);
             }
 
             JsonResponseHandler<VoidresponseHandler = new JsonResponseHandler<Void>(null);
             invoke(requestresponseHandlerexecutionContext);
 
         } finally {
             
             endClientExecution(awsRequestMetricsrequestnull);
         }
     }
    
    

Deletes a pipeline, its pipeline definition, and its run history. AWS Data Pipeline attempts to cancel instances associated with the pipeline that are currently being processed by task runners.

Deleting a pipeline cannot be undone. You cannot query or restore a deleted pipeline. To temporarily pause a pipeline instead of deleting it, call SetStatus with the status set to PAUSE on individual components. Components that are paused by SetStatus can be resumed.

Parameters:
deletePipelineRequest Container for the necessary parameters to execute the DeletePipeline service method on DataPipeline.
Throws:
com.amazonaws.services.datapipeline.model.PipelineNotFoundException
com.amazonaws.services.datapipeline.model.InternalServiceErrorException
com.amazonaws.services.datapipeline.model.InvalidRequestException
com.amazonaws.AmazonClientException If any internal errors are encountered inside the client while attempting to make the request or handle the response. For example if a network connection is not available.
com.amazonaws.AmazonServiceException If an error response is returned by DataPipeline indicating either a problem with the data in the request, or a server side issue.
 
     public void deletePipeline(DeletePipelineRequest deletePipelineRequest) {
         ExecutionContext executionContext = createExecutionContext(deletePipelineRequest);
         AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
         awsRequestMetrics.startEvent(.);
         Request<DeletePipelineRequestrequest = null;
         
         try {
             awsRequestMetrics.startEvent(.);
             try {
                 request = new DeletePipelineRequestMarshaller().marshall(super.beforeMarshalling(deletePipelineRequest));
                 // Binds the request metrics to the current request.
                 request.setAWSRequestMetrics(awsRequestMetrics);
             } finally {
                 awsRequestMetrics.endEvent(.);
             }
 
             JsonResponseHandler<VoidresponseHandler = new JsonResponseHandler<Void>(null);
             invoke(requestresponseHandlerexecutionContext);
 
         } finally {
             
             endClientExecution(awsRequestMetricsrequestnull);
         }
     }
    
    

Deactivates the specified running pipeline. The pipeline is set to the DEACTIVATING state until the deactivation process completes.

To resume a deactivated pipeline, use ActivatePipeline. By default, the pipeline resumes from the last completed execution. Optionally, you can specify the date and time to resume the pipeline.

Parameters:
deactivatePipelineRequest Container for the necessary parameters to execute the DeactivatePipeline service method on DataPipeline.
Returns:
The response from the DeactivatePipeline service method, as returned by DataPipeline.
Throws:
com.amazonaws.services.datapipeline.model.PipelineNotFoundException
com.amazonaws.services.datapipeline.model.InternalServiceErrorException
com.amazonaws.services.datapipeline.model.InvalidRequestException
com.amazonaws.services.datapipeline.model.PipelineDeletedException
com.amazonaws.AmazonClientException If any internal errors are encountered inside the client while attempting to make the request or handle the response. For example if a network connection is not available.
com.amazonaws.AmazonServiceException If an error response is returned by DataPipeline indicating either a problem with the data in the request, or a server side issue.
 
     public DeactivatePipelineResult deactivatePipeline(DeactivatePipelineRequest deactivatePipelineRequest) {
         ExecutionContext executionContext = createExecutionContext(deactivatePipelineRequest);
         AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
         awsRequestMetrics.startEvent(.);
         Request<DeactivatePipelineRequestrequest = null;
         Response<DeactivatePipelineResultresponse = null;
         
         try {
             awsRequestMetrics.startEvent(.);
             try {
                 request = new DeactivatePipelineRequestMarshaller().marshall(super.beforeMarshalling(deactivatePipelineRequest));
                 // Binds the request metrics to the current request.
                 request.setAWSRequestMetrics(awsRequestMetrics);
             } finally {
                 awsRequestMetrics.endEvent(.);
             }
 
             Unmarshaller<DeactivatePipelineResultJsonUnmarshallerContextunmarshaller =
                 new DeactivatePipelineResultJsonUnmarshaller();
             JsonResponseHandler<DeactivatePipelineResultresponseHandler =
                 new JsonResponseHandler<DeactivatePipelineResult>(unmarshaller);
 
             response = invoke(requestresponseHandlerexecutionContext);
 
             return response.getAwsResponse();
         } finally {
             
             endClientExecution(awsRequestMetricsrequestresponse);
         }
     }

    

Gets the definition of the specified pipeline. You can call GetPipelineDefinition to retrieve the pipeline definition that you provided using PutPipelineDefinition.

Parameters:
getPipelineDefinitionRequest Container for the necessary parameters to execute the GetPipelineDefinition service method on DataPipeline.
Returns:
The response from the GetPipelineDefinition service method, as returned by DataPipeline.
Throws:
com.amazonaws.services.datapipeline.model.PipelineNotFoundException
com.amazonaws.services.datapipeline.model.InternalServiceErrorException
com.amazonaws.services.datapipeline.model.InvalidRequestException
com.amazonaws.services.datapipeline.model.PipelineDeletedException
com.amazonaws.AmazonClientException If any internal errors are encountered inside the client while attempting to make the request or handle the response. For example if a network connection is not available.
com.amazonaws.AmazonServiceException If an error response is returned by DataPipeline indicating either a problem with the data in the request, or a server side issue.
 
     public GetPipelineDefinitionResult getPipelineDefinition(GetPipelineDefinitionRequest getPipelineDefinitionRequest) {
         ExecutionContext executionContext = createExecutionContext(getPipelineDefinitionRequest);
         AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
         awsRequestMetrics.startEvent(.);
         Request<GetPipelineDefinitionRequestrequest = null;
         Response<GetPipelineDefinitionResultresponse = null;
         
         try {
             awsRequestMetrics.startEvent(.);
             try {
                 request = new GetPipelineDefinitionRequestMarshaller().marshall(super.beforeMarshalling(getPipelineDefinitionRequest));
                 // Binds the request metrics to the current request.
                 request.setAWSRequestMetrics(awsRequestMetrics);
             } finally {
                 awsRequestMetrics.endEvent(.);
             }
 
             Unmarshaller<GetPipelineDefinitionResultJsonUnmarshallerContextunmarshaller =
                 new GetPipelineDefinitionResultJsonUnmarshaller();
             JsonResponseHandler<GetPipelineDefinitionResultresponseHandler =
                 new JsonResponseHandler<GetPipelineDefinitionResult>(unmarshaller);
 
             response = invoke(requestresponseHandlerexecutionContext);
 
             return response.getAwsResponse();
         } finally {
             
             endClientExecution(awsRequestMetricsrequestresponse);
         }
     }

    

Task runners call SetTaskStatus to notify AWS Data Pipeline that a task is completed and provide information about the final status. A task runner makes this call regardless of whether the task was sucessful. A task runner does not need to call SetTaskStatus for tasks that are canceled by the web service during a call to ReportTaskProgress.

Parameters:
setTaskStatusRequest Container for the necessary parameters to execute the SetTaskStatus service method on DataPipeline.
Returns:
The response from the SetTaskStatus service method, as returned by DataPipeline.
Throws:
com.amazonaws.services.datapipeline.model.PipelineNotFoundException
com.amazonaws.services.datapipeline.model.InternalServiceErrorException
com.amazonaws.services.datapipeline.model.InvalidRequestException
com.amazonaws.services.datapipeline.model.TaskNotFoundException
com.amazonaws.services.datapipeline.model.PipelineDeletedException
com.amazonaws.AmazonClientException If any internal errors are encountered inside the client while attempting to make the request or handle the response. For example if a network connection is not available.
com.amazonaws.AmazonServiceException If an error response is returned by DataPipeline indicating either a problem with the data in the request, or a server side issue.
 
     public SetTaskStatusResult setTaskStatus(SetTaskStatusRequest setTaskStatusRequest) {
         ExecutionContext executionContext = createExecutionContext(setTaskStatusRequest);
         AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
         awsRequestMetrics.startEvent(.);
         Request<SetTaskStatusRequestrequest = null;
         Response<SetTaskStatusResultresponse = null;
         
         try {
             awsRequestMetrics.startEvent(.);
             try {
                 request = new SetTaskStatusRequestMarshaller().marshall(super.beforeMarshalling(setTaskStatusRequest));
                 // Binds the request metrics to the current request.
                 request.setAWSRequestMetrics(awsRequestMetrics);
             } finally {
                 awsRequestMetrics.endEvent(.);
             }
 
             Unmarshaller<SetTaskStatusResultJsonUnmarshallerContextunmarshaller =
                 new SetTaskStatusResultJsonUnmarshaller();
             JsonResponseHandler<SetTaskStatusResultresponseHandler =
                 new JsonResponseHandler<SetTaskStatusResult>(unmarshaller);
 
             response = invoke(requestresponseHandlerexecutionContext);
 
             return response.getAwsResponse();
         } finally {
             
             endClientExecution(awsRequestMetricsrequestresponse);
         }
     }

    

Task runners call EvaluateExpression to evaluate a string in the context of the specified object. For example, a task runner can evaluate SQL queries stored in Amazon S3.

Parameters:
evaluateExpressionRequest Container for the necessary parameters to execute the EvaluateExpression service method on DataPipeline.
Returns:
The response from the EvaluateExpression service method, as returned by DataPipeline.
Throws:
com.amazonaws.services.datapipeline.model.PipelineNotFoundException
com.amazonaws.services.datapipeline.model.InternalServiceErrorException
com.amazonaws.services.datapipeline.model.InvalidRequestException
com.amazonaws.services.datapipeline.model.TaskNotFoundException
com.amazonaws.services.datapipeline.model.PipelineDeletedException
com.amazonaws.AmazonClientException If any internal errors are encountered inside the client while attempting to make the request or handle the response. For example if a network connection is not available.
com.amazonaws.AmazonServiceException If an error response is returned by DataPipeline indicating either a problem with the data in the request, or a server side issue.
 
     public EvaluateExpressionResult evaluateExpression(EvaluateExpressionRequest evaluateExpressionRequest) {
         ExecutionContext executionContext = createExecutionContext(evaluateExpressionRequest);
         AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
         awsRequestMetrics.startEvent(.);
         Request<EvaluateExpressionRequestrequest = null;
         Response<EvaluateExpressionResultresponse = null;
         
         try {
             awsRequestMetrics.startEvent(.);
             try {
                 request = new EvaluateExpressionRequestMarshaller().marshall(super.beforeMarshalling(evaluateExpressionRequest));
                 // Binds the request metrics to the current request.
                 request.setAWSRequestMetrics(awsRequestMetrics);
             } finally {
                 awsRequestMetrics.endEvent(.);
             }
 
             Unmarshaller<EvaluateExpressionResultJsonUnmarshallerContextunmarshaller =
                 new EvaluateExpressionResultJsonUnmarshaller();
             JsonResponseHandler<EvaluateExpressionResultresponseHandler =
                 new JsonResponseHandler<EvaluateExpressionResult>(unmarshaller);
 
             response = invoke(requestresponseHandlerexecutionContext);
 
             return response.getAwsResponse();
         } finally {
             
             endClientExecution(awsRequestMetricsrequestresponse);
         }
     }

    

Retrieves metadata about one or more pipelines. The information retrieved includes the name of the pipeline, the pipeline identifier, its current state, and the user account that owns the pipeline. Using account credentials, you can retrieve metadata about pipelines that you or your IAM users have created. If you are using an IAM user account, you can retrieve metadata about only those pipelines for which you have read permissions.

To retrieve the full pipeline definition instead of metadata about the pipeline, call GetPipelineDefinition.

Parameters:
describePipelinesRequest Container for the necessary parameters to execute the DescribePipelines service method on DataPipeline.
Returns:
The response from the DescribePipelines service method, as returned by DataPipeline.
Throws:
com.amazonaws.services.datapipeline.model.PipelineNotFoundException
com.amazonaws.services.datapipeline.model.InternalServiceErrorException
com.amazonaws.services.datapipeline.model.InvalidRequestException
com.amazonaws.services.datapipeline.model.PipelineDeletedException
com.amazonaws.AmazonClientException If any internal errors are encountered inside the client while attempting to make the request or handle the response. For example if a network connection is not available.
com.amazonaws.AmazonServiceException If an error response is returned by DataPipeline indicating either a problem with the data in the request, or a server side issue.
    public DescribePipelinesResult describePipelines(DescribePipelinesRequest describePipelinesRequest) {
        ExecutionContext executionContext = createExecutionContext(describePipelinesRequest);
        AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
        awsRequestMetrics.startEvent(.);
        Request<DescribePipelinesRequestrequest = null;
        Response<DescribePipelinesResultresponse = null;
        
        try {
            awsRequestMetrics.startEvent(.);
            try {
                request = new DescribePipelinesRequestMarshaller().marshall(super.beforeMarshalling(describePipelinesRequest));
                // Binds the request metrics to the current request.
                request.setAWSRequestMetrics(awsRequestMetrics);
            } finally {
                awsRequestMetrics.endEvent(.);
            }
            Unmarshaller<DescribePipelinesResultJsonUnmarshallerContextunmarshaller =
                new DescribePipelinesResultJsonUnmarshaller();
            JsonResponseHandler<DescribePipelinesResultresponseHandler =
                new JsonResponseHandler<DescribePipelinesResult>(unmarshaller);
            response = invoke(requestresponseHandlerexecutionContext);
            return response.getAwsResponse();
        } finally {
            
            endClientExecution(awsRequestMetricsrequestresponse);
        }
    }

    

Creates a new, empty pipeline. Use PutPipelineDefinition to populate the pipeline.

Parameters:
createPipelineRequest Container for the necessary parameters to execute the CreatePipeline service method on DataPipeline.
Returns:
The response from the CreatePipeline service method, as returned by DataPipeline.
Throws:
com.amazonaws.services.datapipeline.model.InternalServiceErrorException
com.amazonaws.services.datapipeline.model.InvalidRequestException
com.amazonaws.AmazonClientException If any internal errors are encountered inside the client while attempting to make the request or handle the response. For example if a network connection is not available.
com.amazonaws.AmazonServiceException If an error response is returned by DataPipeline indicating either a problem with the data in the request, or a server side issue.
    public CreatePipelineResult createPipeline(CreatePipelineRequest createPipelineRequest) {
        ExecutionContext executionContext = createExecutionContext(createPipelineRequest);
        AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
        awsRequestMetrics.startEvent(.);
        Request<CreatePipelineRequestrequest = null;
        Response<CreatePipelineResultresponse = null;
        
        try {
            awsRequestMetrics.startEvent(.);
            try {
                request = new CreatePipelineRequestMarshaller().marshall(super.beforeMarshalling(createPipelineRequest));
                // Binds the request metrics to the current request.
                request.setAWSRequestMetrics(awsRequestMetrics);
            } finally {
                awsRequestMetrics.endEvent(.);
            }
            Unmarshaller<CreatePipelineResultJsonUnmarshallerContextunmarshaller =
                new CreatePipelineResultJsonUnmarshaller();
            JsonResponseHandler<CreatePipelineResultresponseHandler =
                new JsonResponseHandler<CreatePipelineResult>(unmarshaller);
            response = invoke(requestresponseHandlerexecutionContext);
            return response.getAwsResponse();
        } finally {
            
            endClientExecution(awsRequestMetricsrequestresponse);
        }
    }

    

Gets the object definitions for a set of objects associated with the pipeline. Object definitions are composed of a set of fields that define the properties of the object.

Parameters:
describeObjectsRequest Container for the necessary parameters to execute the DescribeObjects service method on DataPipeline.
Returns:
The response from the DescribeObjects service method, as returned by DataPipeline.
Throws:
com.amazonaws.services.datapipeline.model.PipelineNotFoundException
com.amazonaws.services.datapipeline.model.InternalServiceErrorException
com.amazonaws.services.datapipeline.model.InvalidRequestException
com.amazonaws.services.datapipeline.model.PipelineDeletedException
com.amazonaws.AmazonClientException If any internal errors are encountered inside the client while attempting to make the request or handle the response. For example if a network connection is not available.
com.amazonaws.AmazonServiceException If an error response is returned by DataPipeline indicating either a problem with the data in the request, or a server side issue.
    public DescribeObjectsResult describeObjects(DescribeObjectsRequest describeObjectsRequest) {
        ExecutionContext executionContext = createExecutionContext(describeObjectsRequest);
        AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
        awsRequestMetrics.startEvent(.);
        Request<DescribeObjectsRequestrequest = null;
        Response<DescribeObjectsResultresponse = null;
        
        try {
            awsRequestMetrics.startEvent(.);
            try {
                request = new DescribeObjectsRequestMarshaller().marshall(super.beforeMarshalling(describeObjectsRequest));
                // Binds the request metrics to the current request.
                request.setAWSRequestMetrics(awsRequestMetrics);
            } finally {
                awsRequestMetrics.endEvent(.);
            }
            Unmarshaller<DescribeObjectsResultJsonUnmarshallerContextunmarshaller =
                new DescribeObjectsResultJsonUnmarshaller();
            JsonResponseHandler<DescribeObjectsResultresponseHandler =
                new JsonResponseHandler<DescribeObjectsResult>(unmarshaller);
            response = invoke(requestresponseHandlerexecutionContext);
            return response.getAwsResponse();
        } finally {
            
            endClientExecution(awsRequestMetricsrequestresponse);
        }
    }

    

Removes existing tags from the specified pipeline.

Parameters:
removeTagsRequest Container for the necessary parameters to execute the RemoveTags service method on DataPipeline.
Returns:
The response from the RemoveTags service method, as returned by DataPipeline.
Throws:
com.amazonaws.services.datapipeline.model.PipelineNotFoundException
com.amazonaws.services.datapipeline.model.InternalServiceErrorException
com.amazonaws.services.datapipeline.model.InvalidRequestException
com.amazonaws.services.datapipeline.model.PipelineDeletedException
com.amazonaws.AmazonClientException If any internal errors are encountered inside the client while attempting to make the request or handle the response. For example if a network connection is not available.
com.amazonaws.AmazonServiceException If an error response is returned by DataPipeline indicating either a problem with the data in the request, or a server side issue.
    public RemoveTagsResult removeTags(RemoveTagsRequest removeTagsRequest) {
        ExecutionContext executionContext = createExecutionContext(removeTagsRequest);
        AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
        awsRequestMetrics.startEvent(.);
        Request<RemoveTagsRequestrequest = null;
        Response<RemoveTagsResultresponse = null;
        
        try {
            awsRequestMetrics.startEvent(.);
            try {
                request = new RemoveTagsRequestMarshaller().marshall(super.beforeMarshalling(removeTagsRequest));
                // Binds the request metrics to the current request.
                request.setAWSRequestMetrics(awsRequestMetrics);
            } finally {
                awsRequestMetrics.endEvent(.);
            }
            Unmarshaller<RemoveTagsResultJsonUnmarshallerContextunmarshaller =
                new RemoveTagsResultJsonUnmarshaller();
            JsonResponseHandler<RemoveTagsResultresponseHandler =
                new JsonResponseHandler<RemoveTagsResult>(unmarshaller);
            response = invoke(requestresponseHandlerexecutionContext);
            return response.getAwsResponse();
        } finally {
            
            endClientExecution(awsRequestMetricsrequestresponse);
        }
    }

    

Task runners call ReportTaskRunnerHeartbeat every 15 minutes to indicate that they are operational. If the AWS Data Pipeline Task Runner is launched on a resource managed by AWS Data Pipeline, the web service can use this call to detect when the task runner application has failed and restart a new instance.

Parameters:
reportTaskRunnerHeartbeatRequest Container for the necessary parameters to execute the ReportTaskRunnerHeartbeat service method on DataPipeline.
Returns:
The response from the ReportTaskRunnerHeartbeat service method, as returned by DataPipeline.
Throws:
com.amazonaws.services.datapipeline.model.InternalServiceErrorException
com.amazonaws.services.datapipeline.model.InvalidRequestException
com.amazonaws.AmazonClientException If any internal errors are encountered inside the client while attempting to make the request or handle the response. For example if a network connection is not available.
com.amazonaws.AmazonServiceException If an error response is returned by DataPipeline indicating either a problem with the data in the request, or a server side issue.
        ExecutionContext executionContext = createExecutionContext(reportTaskRunnerHeartbeatRequest);
        AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
        awsRequestMetrics.startEvent(.);
        Request<ReportTaskRunnerHeartbeatRequestrequest = null;
        Response<ReportTaskRunnerHeartbeatResultresponse = null;
        
        try {
            awsRequestMetrics.startEvent(.);
            try {
                request = new ReportTaskRunnerHeartbeatRequestMarshaller().marshall(super.beforeMarshalling(reportTaskRunnerHeartbeatRequest));
                // Binds the request metrics to the current request.
                request.setAWSRequestMetrics(awsRequestMetrics);
            } finally {
                awsRequestMetrics.endEvent(.);
            }
                new ReportTaskRunnerHeartbeatResultJsonUnmarshaller();
            JsonResponseHandler<ReportTaskRunnerHeartbeatResultresponseHandler =
                new JsonResponseHandler<ReportTaskRunnerHeartbeatResult>(unmarshaller);
            response = invoke(requestresponseHandlerexecutionContext);
            return response.getAwsResponse();
        } finally {
            
            endClientExecution(awsRequestMetricsrequestresponse);
        }
    }

    

Adds or modifies tags for the specified pipeline.

Parameters:
addTagsRequest Container for the necessary parameters to execute the AddTags service method on DataPipeline.
Returns:
The response from the AddTags service method, as returned by DataPipeline.
Throws:
com.amazonaws.services.datapipeline.model.PipelineNotFoundException
com.amazonaws.services.datapipeline.model.InternalServiceErrorException
com.amazonaws.services.datapipeline.model.InvalidRequestException
com.amazonaws.services.datapipeline.model.PipelineDeletedException
com.amazonaws.AmazonClientException If any internal errors are encountered inside the client while attempting to make the request or handle the response. For example if a network connection is not available.
com.amazonaws.AmazonServiceException If an error response is returned by DataPipeline indicating either a problem with the data in the request, or a server side issue.
    public AddTagsResult addTags(AddTagsRequest addTagsRequest) {
        ExecutionContext executionContext = createExecutionContext(addTagsRequest);
        AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
        awsRequestMetrics.startEvent(.);
        Request<AddTagsRequestrequest = null;
        Response<AddTagsResultresponse = null;
        
        try {
            awsRequestMetrics.startEvent(.);
            try {
                request = new AddTagsRequestMarshaller().marshall(super.beforeMarshalling(addTagsRequest));
                // Binds the request metrics to the current request.
                request.setAWSRequestMetrics(awsRequestMetrics);
            } finally {
                awsRequestMetrics.endEvent(.);
            }
            Unmarshaller<AddTagsResultJsonUnmarshallerContextunmarshaller =
                new AddTagsResultJsonUnmarshaller();
            JsonResponseHandler<AddTagsResultresponseHandler =
                new JsonResponseHandler<AddTagsResult>(unmarshaller);
            response = invoke(requestresponseHandlerexecutionContext);
            return response.getAwsResponse();
        } finally {
            
            endClientExecution(awsRequestMetricsrequestresponse);
        }
    }

    

Adds tasks, schedules, and preconditions to the specified pipeline. You can use PutPipelineDefinition to populate a new pipeline.

PutPipelineDefinition also validates the configuration as it adds it to the pipeline. Changes to the pipeline are saved unless one of the following three validation errors exists in the pipeline.

  1. An object is missing a name or identifier field.
  2. A string or reference field is empty.
  3. The number of objects in the pipeline exceeds the maximum allowed objects.
  4. The pipeline is in a FINISHED state.

Pipeline object definitions are passed to the PutPipelineDefinition action and returned by the GetPipelineDefinition action.

Parameters:
putPipelineDefinitionRequest Container for the necessary parameters to execute the PutPipelineDefinition service method on DataPipeline.
Returns:
The response from the PutPipelineDefinition service method, as returned by DataPipeline.
Throws:
com.amazonaws.services.datapipeline.model.PipelineNotFoundException
com.amazonaws.services.datapipeline.model.InternalServiceErrorException
com.amazonaws.services.datapipeline.model.InvalidRequestException
com.amazonaws.services.datapipeline.model.PipelineDeletedException
com.amazonaws.AmazonClientException If any internal errors are encountered inside the client while attempting to make the request or handle the response. For example if a network connection is not available.
com.amazonaws.AmazonServiceException If an error response is returned by DataPipeline indicating either a problem with the data in the request, or a server side issue.
        ExecutionContext executionContext = createExecutionContext(putPipelineDefinitionRequest);
        AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
        awsRequestMetrics.startEvent(.);
        Request<PutPipelineDefinitionRequestrequest = null;
        Response<PutPipelineDefinitionResultresponse = null;
        
        try {
            awsRequestMetrics.startEvent(.);
            try {
                request = new PutPipelineDefinitionRequestMarshaller().marshall(super.beforeMarshalling(putPipelineDefinitionRequest));
                // Binds the request metrics to the current request.
                request.setAWSRequestMetrics(awsRequestMetrics);
            } finally {
                awsRequestMetrics.endEvent(.);
            }
            Unmarshaller<PutPipelineDefinitionResultJsonUnmarshallerContextunmarshaller =
                new PutPipelineDefinitionResultJsonUnmarshaller();
            JsonResponseHandler<PutPipelineDefinitionResultresponseHandler =
                new JsonResponseHandler<PutPipelineDefinitionResult>(unmarshaller);
            response = invoke(requestresponseHandlerexecutionContext);
            return response.getAwsResponse();
        } finally {
            
            endClientExecution(awsRequestMetricsrequestresponse);
        }
    }

    

Lists the pipeline identifiers for all active pipelines that you have permission to access.

Returns:
The response from the ListPipelines service method, as returned by DataPipeline.
Throws:
com.amazonaws.services.datapipeline.model.InternalServiceErrorException
com.amazonaws.services.datapipeline.model.InvalidRequestException
com.amazonaws.AmazonClientException If any internal errors are encountered inside the client while attempting to make the request or handle the response. For example if a network connection is not available.
com.amazonaws.AmazonServiceException If an error response is returned by DataPipeline indicating either a problem with the data in the request, or a server side issue.
        return listPipelines(new ListPipelinesRequest());
    }
    @Override
    public void setEndpoint(String endpoint) {
        super.setEndpoint(endpoint);
    }
    @Override
    public void setEndpoint(String endpointString serviceNameString regionIdthrows IllegalArgumentException {
        super.setEndpoint(endpointserviceNameregionId);
    }

    
Returns additional metadata for a previously executed successful, request, typically used for debugging issues where a service isn't acting as expected. This data isn't considered part of the result data returned by an operation, so it's available through this separate, diagnostic interface.

Response metadata is only cached for a limited period of time, so if you need to access this extra diagnostic information for an executed request, you should use this method to retrieve it as soon as possible after executing the request.

Parameters:
request The originally executed request
Returns:
The response metadata for the specified request, or null if none is available.
        return .getResponseMetadataForRequest(request);
    }
    private <X, Y extends AmazonWebServiceRequestResponse<X> invoke(Request<Y> request,
            HttpResponseHandler<AmazonWebServiceResponse<X>> responseHandler,
            ExecutionContext executionContext) {
        request.setEndpoint();
        request.setTimeOffset();
        AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
        AWSCredentials credentials;
        awsRequestMetrics.startEvent(.);
        try {
            credentials = .getCredentials();
        } finally {
            awsRequestMetrics.endEvent(.);
        }
        AmazonWebServiceRequest originalRequest = request.getOriginalRequest();
        if (originalRequest != null && originalRequest.getRequestCredentials() != null) {
            credentials = originalRequest.getRequestCredentials();
        }
        executionContext.setCredentials(credentials);
        JsonErrorResponseHandler errorResponseHandler = new JsonErrorResponseHandler();
        Response<X> result = .execute(requestresponseHandler,
                errorResponseHandlerexecutionContext);
        return result;
    }
}
        
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